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Multiparametric MRI for the Diagnosis of Tumor Type in Patients Suspicious of Inner Gland Prostate Cancer

Zahra Ghane, Fariborz Faeghi, Mahyar Ghafoori, Abolfazl Payandeh



Purpose: The current study aimed to evaluate multiparametric MRI for the diagnosis of type of tumor (benign or
malignant) in patients suspicious of inner gland prostate cancer.

Materials and Methods: This cross-sectional study was conducted on 44 consecutive patients with a clinical
impression of prostate cancer who were referred to the MRI department of Payambaran Hospital, Tehran, Iran
for confirmative diagnostic evaluation. Cases suspected of tumor relapse and those who previously underwent
treatment for prostate cancer were excluded. Multiparametric MRI was performed for every patient by using a 1.5
Tesla device with an integrated endorectal and pelvic-phased array coil. All patients subsequently underwent MRItransrectal
ultrasound fusion biopsy. The diagnostic value of each sequence was then investigated individually and
in combination with other techniques by comparing the results with histological findings from MRI–TRUS fusion

Results: Among the techniques, T2-weighted imaging (T2W) had the highest sensitivity and specificity while
dynamic contrast enhanced (DCE) technique had the least. Diffusion-weighted imaging (DWI) and magnetic resonance
spectroscopy (MRS) had a similar sensitivity and specificity and did not significantly differ from T2W.
Adding functional techniques to T2W did not improve diagnostic indices compared to T2W alone. Quantitative
evaluation of apparent diffusion coefficient (ADC), DWI, and MRS showed that all techniques were able to differentiate
between benign and malignant tumors. However, the quantitative combination of these sequences decreased
diagnostic performance.

Conclusion: T2W is the best technique for the diagnosis of type of tumor in terms of benignancy or malignancy
in patients suspicious of inner gland prostate cancer. Adding functional imaging measurements to T2W does not
improve its diagnostic value.


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DOI: http://dx.doi.org/10.22037/uj.v0i0.4998


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